Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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SA2E: spatial-aware auto-encoder for cell type deconvolution of spatial transcriptomics data.
PMID 41863296 · PMC13070677 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups
SA2E is a spatial-aware auto-encoder framework for cell-type deconvolution that does not require predefined cell-type biomarkers
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SpaJoint: a transfer learning method for spatial transcriptomics deconvolution.
PMID 41955028 · PMC13069903 · Briefings in bioinformatics · 2026 · 8 claims · 1 setups
SpaJoint is a transfer-learning-based deconvolution method that integrates scRNA-seq and ST gene expression while accounting for spatial correlation across spots.
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Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissues.
PMID 41862467 · PMC13168514 · Nature communications · 2026 · 8 claims · 8 setups
UCASpatial is a novel deconvolution algorithm that uses Shannon entropy-based gene weighting combined with weighted non-negative least squares to estimate cell-type composition from spatial transcriptomics data
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SpaNiche: spatial niche analysis to explore colocalization patterns and cellular interactions in spatial transcriptomics data.
PMID 42015285 · PMC13231777 · Genome biology · 2026 · 8 claims · 6 setups
SpaNiche integrates smoothed cell-type abundance and ligand-receptor expression matrices via graph-regularized joint NMF, across multiple spatial views, to identify colocalization patterns
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VISTA uncovers missing gene expression and spatial-induced information for spatial transcriptomic data analysis.
PMID 41507434 · PMC12891734 · Communications biology · 2026 · 8 claims · 6 setups
VISTA predicts unmeasured gene expression in subcellular spatial transcriptomic data by integrating scRNA-seq and SST through variational inference and geometric deep learning with built-in uncertainty quantification
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Single-cell spatial transcriptomic analysis of human skin anatomy.
PMID 41872488 · PMC13083264 · Nature genetics · 2026 · 8 claims · 6 setups
MERFISH-based spatial atlas of ~1.2 million cells resolves 45 cell types across 114 samples and 15 anatomic sites in normal human skin
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Spatial Transcriptomics of Human Decidua Identifies Molecular Signatures in Recurrent Pregnancy Loss.
PMID 41031483 · PMC13242933 · Genomics, proteomics & bioinformatics · 2026 · 7 claims · 8 setups
The human decidua contains two coherent spatial domains, the implantation zone (IZ) and glandular-secretory zone (GZ), corresponding to the decidua compacta and spongiosa
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S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.
PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.
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FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis.
PMID 41839892 · PMC13201544 · Nature communications · 2026 · 8 claims · 6 setups
FineST, a bimodal contrastive learning model integrating histology (Virchow2 ViT features) and spatial gene expression, enables nuclei-resolved high-resolution RNA imputation.
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Multi-omics feature engineering driven by biomedical foundation models improves drug response prediction for inflammatory bowel disease patients.
PMID 41844950 · PMC13129071 · Scientific reports · 2026 · 8 claims · 7 setups
FM (MAMMAL)-derived drug-target binding affinity (BA) inference can be used to rank/select biologically relevant protein targets and their associated genes/SNPs for a drug of interest without knowledge of protein structure or active sites
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Spatial transcriptomics unveils immune cellular ecosystems associated with patient survival in diffuse large B-cell lymphoma.
PMID 42010788 · PMC13102037 · Oncoimmunology · 2026 · 7 claims · 7 setups
DLBCL tissues are organized into six recurrent, spatially defined cellular ecosystems (Cell-Eco) with distinct immune compositions, transcriptional programs, and neighborhood architectures.
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Has reproduction · 38
Genomic capacities for Reactive Oxygen Species metabolism across marine phytoplankton.
PMID 37098087 · PMC10128935 · PloS one · 2023 · 8 claims · 3 setups
Genes encoding superoxide (O2•−) scavenging are ubiquitous across phytoplankton, but their fractional gene allocation decreases with increasing cell radius, consistent with a nearly fixed core gene set.
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Spatial transcriptomics reveals altered communities and drivers of aberrant epithelia and pro-fibrotic fibroblasts in interstitial lung diseases.
PMID 41576947 · PMC12985369 · Cell genomics · 2026 · 7 claims · 7 setups
snRNA-seq census of 227,680 nuclei across 48 cell types reveals altered cellular states and compositional rewiring of the distal lung in ILD
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Spatially resolved osteoblast-traced transcriptomics uncovers TGF-β as a combination target with sclerostin in osteoporosis.
PMID 41927532 · PMC13046724 · Bone research · 2026 · 8 claims · 8 setups
Spatially resolved osteoblast-traced transcriptomics (lineage tracing + SLACS) identifies TGF-β signaling as a regulator of osteoblast activation state on quiescent bone surfaces
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Spatiotemporal Transcriptomics Characterizes Immune Microenvironment During Mouse Liver Aging.
PMID 42010880 · PMC13096584 · Aging cell · 2026 · 8 claims · 8 setups
T cells are the immune cell population with the most pronounced transcriptomic alterations during liver aging
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Resolving sensitivity, specificity and signal contamination in Xenium spatial transcriptomics.
PMID 42062553 · PMC13259927 · Nature methods · 2026 · 8 claims · 6 setups
Xenium data show strong consistency across patients and technical replicates, with little technical variation between platforms
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STAN, a computational framework for inferring spatially informed transcription factor activity.
PMID 41521668 · PMC12784991 · Nucleic acids research · 2026 · 7 claims · 7 setups
STAN, a linear mixed-effects (spatially weighted regression) model, integrates TF-target gene priors, gene expression, spatial coordinates, and histological image features to predict spot-specific TF activity in spatial transcriptomics data
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Has reproduction · 85
Integration of multi-omics and machine learning strategies identifies immune related candidate biomarkers in inflammation-associated hypertrophic cardiomyopathy.
PMID 41080564 · PMC12510942 · Frontiers in immunology · 2025 · 8 claims · 8 setups
Seven key immune-related genes (RNF165, SNCA, SRGN, MARCO, STEAP4, SIGLEC9, TKT) are associated with HCM by intersecting DEGs with MR-identified eQTLs
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A Transcriptional Map of Human Tonsil Architecture: Beyond the Sum of (Single Cell) Parts.
PMID 41518352 · PMC12790319 · European journal of immunology · 2026 · 8 claims · 5 setups
Imaging-based spatial transcriptomics (CosMx SMI) captures tissue complexity and cellular composition more faithfully than scRNA-seq
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Charting spatial ligand-target activity using Renoir.
PMID 42086556 · PMC13144314 · Nature communications · 2026 · 8 claims · 8 setups
Renoir computes a neighborhood activity score for curated ligand-target pairs at each spatial spot/cell by integrating cell type abundance, cell type-specific mRNA abundance, receptor expression, gene entropy, and mutual information between ligand and target genes.